Alternatives and similar repositories for awesome-nonconvex-optimization

Users that are interested in awesome-nonconvex-optimization are comparing it to the libraries listed below

• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆49Updated 4 months ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 5 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• unc-optimization / StochasticProximalMethods
  A collection of stochastic proximal gradient methods for composite non-convex problems.
  ☆21Updated 5 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 5 years ago
• ntienvu / MiniBO
  Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
  ☆15Updated 3 years ago
• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆47Updated 3 years ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆54Updated 4 years ago
• MatOpt / QSDPNAL
  A MATLAB software for convex quadratic semidefinite programming
  ☆14Updated 5 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆31Updated 2 years ago
• bentoayr / ADMM-tutorial
  ☆33Updated 2 years ago
• zi-w / Structural-Kernel-Learning-for-HDBBO
  Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
  ☆15Updated 6 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆78Updated 3 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated 2 years ago
• sorooshafiee / WKF
  ☆16Updated 7 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆39Updated 6 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆61Updated 2 years ago
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆53Updated 5 years ago
• HxSun08 / Alt-Diff
  ☆26Updated last year
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆22Updated 6 years ago
• gpeyre / 2021-NonCvxPro
  ☆11Updated 4 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• philipk01 / Optimization_and_Sampling_for_Bayesian_Inference
  Adaptive MCMC and CMA-ES Python code
  ☆14Updated 6 years ago
• polixir / ZOOpt
  A python package of Zeroth-Order Optimization (ZOOpt)
  ☆73Updated 2 years ago
• nirum / ADMM
  Examples/code for the alternating direction method of multipliers (ADMM)
  ☆113Updated 10 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• hoonose / sever
  [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization
  ☆29Updated 5 years ago
• shifwang / Nonconvex_ADMM_Demos
  This includes codes for Alternating Direction Method of Multipliers (ADMM) on several interesting applications, such as Lq basis pursuit,…
  ☆22Updated 9 years ago
• sorooshafiee / InverseOptimization
  Source files for our inverse optimization paper!
  ☆20Updated 7 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago